Data Packet Structure and Modem Design for Dynamic Underwater Acoustic Channels

Zakharov, Yuriy; Henson, Benjamin; Diamant, Roee; Yuan, Fei; Mitchell, Paul; Morozs, Nils; Shen, Lu; Tozer, T.C.

doi:10.1109/joe.2019.2932650

“…• G -channel gain (linear scale), Figure 11a shows the result with 1 Hz bandwidth that demonstrates the sensitivity of a narrowband signal to multipath interference due to the phase of the multipath components at a given geographical location and frequency. In contrast, Figure 11b shows the result of the same beam tracing simulation, but post-processed using 7.2 kHz bandwidth (acoustic modem frequency specifications taken from [79]), and as a result significantly smoother due to a decreased sensitivity to the phase of the multipath components. The low received signal power near the sea surface in both plots demonstrates the impact of the highly reflective sea surface.…”

Section: Wideband Received Signal Powermentioning

confidence: 99%

Channel Modeling for Underwater Acoustic Network Simulation

Morozs

¹

,

Gorma

²

,

Henson

³

et al. 2020

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Simulation forms an important part of the development and empirical evaluation of underwater acoustic network (UAN) protocols. The key feature of a credible network simulation model is a realistic channel model. A common approach to simulating realistic underwater acoustic (UWA) channels is by using specialised beam tracing software such as BELLHOP. However, BELLHOP and similar modeling software typically require knowledge of ocean acoustics and a substantial programming effort from UAN protocol designers to integrate it into their research. This paper is a distilled tutorial on UWA channel modeling with a focus on network simulation, providing a trade-off between the flexibility of low level channel modeling via beam tracing and the convenience of automated channel modeling, e.g. via the World Ocean Simulation System (WOSS). The tutorial is accompanied by our MATLAB simulation code that interfaces with BELLHOP to produce channel data for UAN simulations. As part of the tutorial, we describe two methods of incorporating such channel data into network simulations, including a case study for each of them: 1) directly importing the data as a look-up table, 2) using the data to create a statistical channel model. The primary aim of this paper is to provide a useful learning resource and modeling tool for UAN protocol researchers. Initial insights into the UAN protocol design and performance provided by the statistical channel modeling approach presented in this paper demonstrate its potential as a powerful modeling tool for future UAN research.

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“…In contrast, Fig. 11b shows the result of the same beam tracing simulation, but post-processed using 7.2 kHz bandwidth (acoustic modem frequency specifications taken from [78]), and as a result significantly smoother due to a decreased sensitivity to the phase of the multipath components.…”

Section: Calculating Wideband Received Signal Powermentioning

confidence: 99%

Channel Modeling for Underwater Acoustic Network Simulation

Morozs¹,

Gorma²,

Henson³

et al. 2020

Preprint

Self Cite

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This manuscript was submitted to IEEE Access on 12 Jun 2020.<div><br></div><div>Abstract:</div><div><br></div><div>Simulation forms an important part of the development and empirical evaluation of underwater acoustic network (UAN) protocols. The key feature of a credible network simulation model is a realistic channel model. A common approach to simulating realistic underwater acoustic (UWA) channels is by using specialised beam tracing software such as BELLHOP. However, BELLHOP and similar modeling software typically require knowledge of ocean acoustics and a substantial programming effort from UAN protocol designers to integrate it into their research. In this paper, we bridge the gap between low level channel modeling via beam tracing and automated channel modeling, e.g. via the World Ocean Simulation System (WOSS), by providing a distilled UWA channel modeling tutorial from the network protocol design point of view. The tutorial is accompanied by our MATLAB simulation code that interfaces with BELLHOP to produce channel data for UAN simulations. As part of the tutorial, we describe two methods of incorporating such channel data into network simulations, including a case study for each of them: 1) directly importing the data as a look-up table, 2) using the data to create a statistical channel model. The primary aim of this paper is to provide a useful learning resource and modeling tool for UAN protocol researchers. Initial insights into the UAN protocol design and performance provided by the statistical channel modeling approach presented in this paper demonstrate its potential as a powerful modeling tool for future UAN research.<br></div>

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“…In contrast, Fig. 13b shows the result of the same BELLHOP simulation, but post-processed using 7.2 kHz bandwidth (acoustic modem frequency specifications taken from [78]), and as a result significantly smoother due to a decreased sensitivity to the phase of the multipath components.…”

Section: F Calculating Wideband Received Signal Powermentioning

confidence: 99%

Channel Modeling for Underwater Acoustic Network Simulation

Morozs¹,

Gorma²,

Henson³

et al. 2020

Preprint

Self Cite

View full text Add to dashboard Cite

This manuscript was submitted to IEEE Access on 12 Jun 2020.<div><br></div><div>Abstract:</div><div><br></div><div>Simulation forms an important part of the development and empirical evaluation of underwater acoustic network (UAN) protocols. The key feature of a credible network simulation model is a realistic channel model. A common approach to simulating realistic underwater acoustic (UWA) channels is by using specialised beam tracing software such as BELLHOP. However, BELLHOP and similar modeling software typically require knowledge of ocean acoustics and a substantial programming effort from UAN protocol designers to integrate it into their research. In this paper, we bridge the gap between low level channel modeling via beam tracing and automated channel modeling, e.g. via the World Ocean Simulation System (WOSS), by providing a distilled UWA channel modeling tutorial from the network protocol design point of view. The tutorial is accompanied by our MATLAB simulation code that interfaces with BELLHOP to produce channel data for UAN simulations. As part of the tutorial, we describe two methods of incorporating such channel data into network simulations, including a case study for each of them: 1) directly importing the data as a look-up table, 2) using the data to create a statistical channel model. The primary aim of this paper is to provide a useful learning resource and modeling tool for UAN protocol researchers. Initial insights into the UAN protocol design and performance provided by the statistical channel modeling approach presented in this paper demonstrate its potential as a powerful modeling tool for future UAN research.<br></div>

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Data Packet Structure and Modem Design for Dynamic Underwater Acoustic Channels

Cited by 17 publications

References 42 publications

Channel Modeling for Underwater Acoustic Network Simulation

Channel Modeling for Underwater Acoustic Network Simulation

Channel Modeling for Underwater Acoustic Network Simulation

Channel Modeling for Underwater Acoustic Network Simulation

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